| Filename | Size | Update |
|---|
| MIT machine learning course |
| ...........................\Introduction.pdf |
| ...........................\lagrange.pdf |
| ...........................\lecture1- Introduction.pdf |
| ...........................\lecture10-Boosting | complexity.pdf |
| ...........................\lecture11-Structural risk minimization | description length.pdf |
| ...........................\lecture12-Mixture models | EM.pdf |
| ...........................\lecture13-EM | regularization | conditional mixtures.pdf |
| ...........................\lecture14-Non-parametric density estimation | clustering.pdf |
| ...........................\lecture15- Clustering | Markov models.pdf |
| ...........................\lecture16-Markov and hidden Markov models.pdf |
| ...........................\lecture17-Hidden Markov models.pdf |
| ...........................\lecture18-Viterbi | graphical models.pdf |
| ...........................\lecture19-Bayesian networks.pdf |
| ...........................\lecture2-Linear regression.pdf |
| ...........................\lecture20-Medical diagnosis example | influence diagrams.pdf |
| ...........................\lecture21-Influence diagrams | exact inference.pdf |
| ...........................\lecture22-Belief propagation.pdf |
| ...........................\lecture23-Learning graphical models (guest lecture).pdf |
| ...........................\lecture3- Additive models | maximum likelihood.pdf |
| ...........................\lecture3-Additive models | maximum likelihood.pdf |
| ...........................\lecture4-Active learning.pdf |
| ...........................\lecture5-Classification.pdf |
| ...........................\lecture6- Logistic regression | regularization.pdf |
| ...........................\lecture7-Regularization | Support vector machines.pdf |
| ...........................\lecture8-Support vector machines | text classification.pdf |
| ...........................\lecture9-Feature selection | combination of methods.pdf |
| ...........................\Linear regression.pdf |
| ...........................\regularization.pdf |